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71 papers · 1 filter
A shrinkage-thresholding Metropolis adjusted Langevin algorithm for Bayesian variable selection
Amandine Schreck, Gersende Fort, Sylvain Le Corff +1
This paper introduces a new Markov Chain Monte Carlo method for Bayesian variable selection in high dimensional settings. The algorithm is a Hastings-Metropolis sampler with a prop…
Planck intermediate results. XVII. Emission of dust in the diffuse interstellar medium from the far-infrared to microwave frequencies
Planck Collaboration, A. Abergel, P. A. R. Ade +196
The dust-HI correlation is used to characterize the emission properties of dust in the diffuse interstellar medium. We cross-correlate sky maps from Planck, WMAP, and DIRBE, at 17…
Blind Denoising with Random Greedy Pursuits
Manuel Moussallam, Alexandre Gramfort, Laurent Daudet +1
Denoising methods require some assumptions about the signal of interest and the noise. While most denoising procedures require some knowledge about the noise level, which may be un…
An SIR Graph Growth Model for the Epidemics of Communicable Diseases
Charanpal Dhanjal, Stéphan Clémençon
It is the main purpose of this paper to introduce a graph-valued stochastic process in order to model the spread of a communicable infectious disease. The major novelty of the SIR…
Simplicial Homology for Future Cellular Networks
Anaïs Vergne, Laurent Decreusefond, Philippe Martins
Simplicial homology is a tool that provides a mathematical way to compute the connectivity and the coverage of a cellular network without any node location information. In this art…
Random Abstract Simplicial Complexes Reduction
Anaïs Vergne, Laurent Decreusefond, Philippe Martins
Random abstract simplicial complex representation provides a mathematical description of wireless networks and their topology. In order to reduce the energy consumption in this typ…